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1)  adaptive stochastic resonance
自适应随机共振
1.
Research of adaptive stochastic resonance based on approximate entropy;
基于近似熵测度的自适应随机共振研究
2)  self-adopting scanning stochastic resonance
自适应扫频随机共振
1.
Study on self-adopting scanning stochastic resonance;
自适应扫频随机共振研究
3)  Parameter-adaptive stochastic resonance theory
参数自适应随机共振理论
4)  adaptive resonance
自适应共振
1.
A novel bidirectional matching adaptive resonance theory (BMART2)neural network was proposed to improve insensitivity to gradual processes of traditional ART2(TART2)and original-pattern ART2(OPART2) neural network.
为了解决传统的自适应共振理论(TART2)网络和增设最初模板的ART2(OPART2)网络对模式类渐变过程的不敏感性而导致的识别性能较差的缺陷,提出具有双向检测机制的ART2(BMART2)网络。
2.
A method of hand gestures recognition based on the adaptive resonance neutral network 2 (ART2) was proposed to improve the adaptive capacity and stability in this dissertation.
本文采用一种基于自适应共振理论(Adaptive Resonance Theory,ART)的神经网络ART2对手势动作SMEG信号进行模式识别研究,并进行了单用户和多用户的实验。
5)  Autonomous stochastic resonance
随机自共振
1.
Correspondingly,the autonomous stochastic resonance induced by noise was also studied.
研究了确定的和随机的神经放电数学模型中的鞍-结分岔的动力学行为,随机模型中靠近鞍-结分岔点的随机节律被揭示为随机更新过程;还研究了相应于分岔点附近的随机自共振机制。
6)  adaptive resonance theory
自适应共振理论
1.
A new synthetical method of optimizing bit type is developed by adaptive resonance theory neural network, which regards some quantitative and qualitative factors as neural units of inputting layer of the network.
利用人工神经网络法中的自适应共振理论优选钻头 ,将定性、定量优选因素作为输入层神经元 ,形成一种综合性选型方法 。
2.
An ART2 neural network based on adaptive resonance theory is put forward in this work to identify the damage of the structures and to realize the on-line self-study of the network.
目的基于自适应共振理论,提出一种基于ART2神经网络的结构损伤识别方法,以实现结构损伤识别的自主学习。
3.
The new network model is formed by incorporating the two concepts of fuzzy set theory, closeness and closest principles, with adaptive resonance theory (ART).
将模糊数学中的贴近度 (Closeness)和择近原则 (ClosestPrinciple)概念与自适应共振理论 (ART)相结合 ,形成了一种新的网络模型。
补充资料:电子自旋共振(见电子回旋共振)


电子自旋共振(见电子回旋共振)
electron spin resonance

  电子自旋共振eleetron spin resonanee见电子回旋共振。
  
说明:补充资料仅用于学习参考,请勿用于其它任何用途。
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